PhD Seminar • Computational Neuroscience — Learning Action Selection Parameters in a Neural Cognitive Model
Sverrir Thorgeirsson, PhD candidate
David R. Cheriton School of Computer Science
Sverrir Thorgeirsson, PhD candidate
David R. Cheriton School of Computer Science
Chelsea Komlo, HashiCorp
Privacy Enhancing Technology communities rely on the research community for help designing and validating protocols, finding potential attack vectors, and applying new technological innovations to existing protocols. However, while the research community has made significant progress studying projects such as Tor, the number of research outcomes that have actually been incorporated into privacy enhancing technologies such as The Tor Project is lower than the number of feasible and useful research outcomes.
Matthew Finkel, The Tor Project
There are hundreds of millions of new "smart" mobile device users every year, but the mobile ecosystem and infrastructure are designed and built for optimizing convenience, not protecting the privacy of the user. From a design flaw in the Internet Protocol to an abundence of physical sensors, a mobile device may tell a third-party more information than the user intended or wanted.
Entrepreneurs are natural problem solvers. Beyond creating companies that bring innovative and world-changing ideas to the global market place, entrepreneurs are increasingly acting as community builders, industry change agents, and global disruptors.
Find out why.
Torben Bach Pedersen, Professor of Computer Science
Aalborg University
Data collected from new sources such as sensors and smart devices is large, fast, and often complex. There is a universal wish to perform multidimensional OLAP-style analytics on such data, i.e., to turn it into “Big Multidimensional Data.” Supporting this is a multi-stage journey, requiring new tools and systems, and forming a new, extended data cycle with models as a key concept. We will look at three specifics steps in this data cycle.
Daniel M. Berry
David R. Cheriton School of Computer Science
Dan Berry weaves the twin peaks of (1) his life in computing, programming, programming languages, software engineering, electronic publishing, and requirements engineering with (2) the almost concurrent development of programming languages, software engineering, and requirements engineering.
Anil Pacaci, PhD candidate
David R. Cheriton School of Computer Science
Finn Lidbetter, Master’s candidate
David R. Cheriton School of Computer Science
The fundamental problem of additive number theory is to determine whether there exists an integer m such that every nonnegative integer (resp., every sufficiently large nonnegative integer) is the sum of at most m elements of S. If so, we call S an additive basis of order m (resp., an asymptotic additive basis of order m). If such an m exists, we also want to find the smallest such m.
Carolyn Lamb, PhD candidate
David R. Cheriton School of Computer Science
We describe three versions of TwitSong, a system that generates poetry based on the news. TwitSong is designed to make aesthetic decisions about potential lines of poetry and, in the third version, to edit its own work. We describe how the system was developed, how it performs in user studies, and why this type of computer-generated poetry still has a long way to go.
Chunhao Wang, PhD candidate
David R. Cheriton School of Computer Science